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Author

Ravi Mandla

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2 papers indexed here

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Open access Sep 2026

Novel type 1 diabetes polygenic scores improve identification of type 1 diabetes in diverse populations

Most polygenic scores (PS) for type 1 diabetes were developed using European (EUR) ancestry datasets, limiting performance in non-European (non-EUR) populations. We evaluated novel type 1 diabetes PS across diverse populations to assess whether newer models improve prediction in underrepresented populations. Seven type...

Stella Nam, R. Kreienkamp, Jiang Li et al. · 0 citations
Open access Sep 2026

All of Us diversity and scale yield context-dependent improvements in polygenic prediction

Leveraging multiancestry and multi-biobank data from the All of Us Research Program and the UK Biobank improves polygenic prediction models for complex traits and diseases, especially for under-represented populations.

K. Tsuo, Zhuo-Zheng Shi, Tian Ge et al. · 0 citations

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